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Multi-focus image fusion based on muti-scheme

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
Multi-focus fusion is an important technique to integrate focal information from a set of input registered images. In this effort, a novel image fusion algorithm based on multi-scheme is presented. Given an over-complete Gabor dictionary, through matching pursuit signal decomposition algorithm, each source image can be described by sparse combinations ...
Lixiong Liu, Bin Liao
openaire   +1 more source

Zero-Shot Multi-Focus Image Fusion

2021 IEEE International Conference on Multimedia and Expo (ICME), 2021
Xingyu Hu   +3 more
openaire   +1 more source

Multi-focus Image Fusion with PCA Filters of PCANet

2019
As is well known to all, the training of deep learning model is time consuming and complex. Therefore, in this paper, a very simple deep learning model called PCANet is used to extract image features from multi-focus images. First, we train the two-stage PCANet using ImageNet to get PCA filters which will be used to extract image features.
Xu Song, Xiao-Jun Wu 0001
openaire   +2 more sources

Multi-focus image fusion: A Survey of the state of the art

Information Fusion, 2020
Xun Chen, Juan Cheng, Yu Liu
exaly  

Multi-Focus Image Fusion Based on Multi-Scale Gradients and Image Matting

IEEE Transactions on Multimedia, 2022
Jun Chen, Jiayi Ma, Xuejiao Li
exaly  

Multi-focus image fusion with a deep convolutional neural network

Information Fusion, 2017
Xun Chen, Hu Peng, Zeng-Fu Wang
exaly  

Multi-focus image fusion using dictionary-based sparse representation

Information Fusion, 2015
Mansour Nejati   +2 more
exaly  

Multi-Focus Image Fusion Based on Improved CNN

2022 7th International Conference on Multimedia and Image Processing, 2022
openaire   +2 more sources

Evaluation of focus measures in multi-focus image fusion

Pattern Recognition Letters, 2007
Zhongliang Jing
exaly  

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